Eucalyptus-based private clouds: availability modeling and comparison to the cost of a public cloud

Dantas, Jamilson; Matos, Rubens; Araújo, Jean; Maciel, Paulo

doi:10.1007/s00607-015-0447-8

Cited by 49 publications

(31 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By determining cloud key components in this architecture we will be able to identify the most important factors that can affect system high availability and reliability. The main components include VM, node controller, cluster controller, storage controller, cloud controller and Walrus [23]. Four major steps to achieve a high available and reliable cloud system are posed in terms of four pivotal questions.…”

Section: Proposed Reference Roadmapmentioning

confidence: 99%

“…The probability that a system is operational in a time interval without any failures is represented as the system reliability, whereas the availability of a system at time 't' is referred to as the probability that the system is up and functional correctly at that instance in time [21,22]. HA for cloud services is essential for maintaining customer's confidence and preventing revenue losses due to service level agreement (SLA) violation penalties [23,24]. In recent years, cloud computing environments have received significant attention from global business and government agencies for supporting critical mission systems [25].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

show abstract

Section: Proposed Reference Roadmapmentioning

confidence: 99%

mentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…This approach is based on hierarchical and heterogeneous modeling that combines combinatorial and state-space models to represent and evaluate cloud infrastructures. Dantas et al [9] described stochastic models for evaluating private cloud architectures, and presented a comparative cost study of public and private cloud providers. Despite the fact that these works are interesting, they only concerned with evaluating scenarios and presenting a comparison of the quantitative results.…”

Section: Related Workmentioning

confidence: 99%

“…The entire model fails if both modules fail. Thus, the operating mode can be expressed as Warm Operational = (VM1_ON=1 AND OPVM2_ON=1) (9) where a token in places VM1_ON or OPVM2_ON represents the operational state of the environment. Figure 6 depicts the SPN active-active (A/A) redundancy model.…”

Section: Warm Standby Modelmentioning

confidence: 99%

Decision making in cloud environments: an approach based on multiple-criteria decision analysis and stochastic models

et al. 2018

Self Cite

View full text Add to dashboard Cite

Cloud computing is a paradigm that provides services through the Internet. The paradigm has been influenced by previously available technologies (for example cluster, peer-to-peer, and grid computing) and has now been adopted by almost all large organizations. Companies such as Google, Amazon, Microsoft and Facebook have made significant investments in cloud computing, and now provide services with high levels of dependability. The efficient and accurate assessment of cloud-based infrastructure is fundamental in guaranteeing both business continuity and uninterrupted public services, as much as is possible. This paper presents an approach for selecting cloud computing infrastructures, in terms of dependability and cost that best suits both company and customer needs. We use stochastic models to calculate dependability-related metrics for different cloud infrastructures. We then use a Multiple-Criteria Decision-Making (MCDM) method to rank the best cloud infrastructures, taking customer service constraints such as reliability, downtime, and cost into consideration. A case study demonstrates the practicability and usefulness of the proposed approach.

show abstract

“…What's more, streamlining of correspondence delays prompts the enhancements in nature of client experience of cloud applications. The studies aimed for surveying the determination of cloud frameworks don't address programming constancy or reflect the impact of inserting new bits of gear to give access to existing models [8]. They defined the model hierarchical heterogeneous model which is composed of reliability block diagrams (RBD) and markov reward model (MRM) which addresses the performance metrics like cost, energy and availability.…”

Section: Related Workmentioning

confidence: 99%

Availability Modelling of Fault Tolerant Cloud Computing System

Mani¹,

Mahendran²

2017

IJIES

View full text Add to dashboard Cite

Abstract:Cloud management organisation is an imperative part of cloud computing platform and serving as the resource manager for cloud platforms. The multifaceted nature of cloud-management base makes its high availability (HA), a standout amongst the most necessities. Different innovations have been produced to build a consistent quality and availability of cloud administration infrastructure. In any case, little work concentrated on quantitative examination of its accessibility. While this ability accomplishes a developed availability with small fault rates, corporate requests conveyed over the autonomous zones may encounter unique Quality of Service (QoS) because of various physical frameworks. The key target of this paper is to show how the Markov-based model can fulfil the client request. For this reason, a few scenarios of the failure rate of virtual machine's practices, for example, single system failure, multiple system failures, power outage are considered by applying the Markov model. The improved repair strategies of accessibility in various circumstances are also investigated. The Queuing models like Markovian and non-Markovian models are examined using phase type expansion and renewal theory keeping in mind the end goal to sufficiently speak to and to assess. The considered element unwavering quality perspectives if there should be an occurrence of the most part dispersed lifetimes and times to repair.

show abstract

Eucalyptus-based private clouds: availability modeling and comparison to the cost of a public cloud

Cited by 49 publications

References 18 publications

Reliability and high availability in cloud computing environments: a reference roadmap

Reliability and high availability in cloud computing environments: a reference roadmap

Decision making in cloud environments: an approach based on multiple-criteria decision analysis and stochastic models

Availability Modelling of Fault Tolerant Cloud Computing System

Contact Info

Product

Resources

About